Hadoop is the open source framework designed to address the Three Vs of Big Data. It enables applications to work with thousands of computationally independent computers processing petabytes of data. Hadoop was derived from Google’s MapReduce and Google File System

Why HADOOP for BIG DATA

• HADOOP handles petabytes of data and most forms of unstructured data

• The velocity challenge of big data can be addressed by integrating appropriate tools within the Hadoop eco system, such as Vertica, HANA, etc.

Advantages of HADOOP

1) Data and computation are distributed, and the local computation model to data prevents network overload.

5) Hadoop Distributed File System (HDFS) is a simple and robust coherency model

6) Data reliably

7) HDFS is scalable without compromising fast access to information.

Traditional vs. HADOOP
Phani K Reddy is a Big Data Architect with Bodhtree, a leader in Data Analytics, Business Intelligence, and Big Data services. Bodhtree provides Hadoop implementation and maintenance services as an end-to-end service to solve specific business challenges.